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Integration Modes

The last two technical chapters of this book introduce
Python’s tools for interfacing to the outside world and discuss both
its ability to be used as an embedded language tool in other systems
and its interfaces for extending Python scripts with new modules and
types implemented in C-compatible languages. We’ll also briefly
explore other integration techniques that are less C specific, such as
the Component Object Model (COM) and Jython.

Our focus in these chapters is on tight integration—where
control is transferred between languages by a simple, direct, and fast
in-process function call. Although it is also possible to link
components of an application less directly using Inter-Process
Communication (IPC) and networking tools such as sockets and pipes
that we explored earlier in the book, we are interested in this part
of the book in more direct and efficient techniques.

When you mix Python with components written in C (or other
compiled languages) either Python or C can be “on top.” Because of
that, there are two distinct integration modes and two distinct
APIs:

The extending interface

For running compiled C library code from Python
programs

The embedding interface

For running Python code from compiled C programs

Extending generally has three main roles: to optimize programs—recoding parts of a program in C is a last-resort performance boost; to leverage existing libraries—opening them up for use in Python code extends their reach; and to allow Python programs to ...

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